Baidu Apollo's first anniversary: ​​Apollo 2.5 version released, the official summary into four highlights
Yesterday, it was the first anniversary of the launch of Baidu Apollo, so I took the opportunity to hold a small press conference.
In the same period of last year, Baidu was in the critical period of the transformation AI strategy. Autopilot is one of its core breakthrough directions. After a lot of drastic business reform and restructuring, Lu Qi first proposed the Apollo plan at the Shanghai Auto Show, announcing that it will be open. Baidu's autopilot platform provides industry developers with help in the automotive industry and autopilots to combine their vehicles and sensor hardware to quickly build their own autopilot system.
On the first anniversary of the conference, Lu Qi did not come in person, just recorded a video for the Apollo R & D team to call remotely, Lu Qi said, very happy that we have taken a solid step through the hard work in the past year. Apollo is an idea. Over the past year, under the guidance of the Declaration of Openness, Shared Resources, Accelerated Innovation, and Sustained Win-Win, more and more global developers and partners have come together to quickly build the most dynamic of the world. Open platform. Apollo is moving from an ambitious plan to another milestone in technological innovation and product upgrades in the automotive industry. Smart driving will dramatically reduce traffic accidents and save countless lives. It will also dramatically change our way of life and work. One of the most exciting technologies of the era, but the journey is still long, we still need to redouble our efforts to cheer.
Li Zhenyu, vice president of Baidu and the general manager of the intelligent driving business group, announced at the meeting that the Apollo ecological alliance was broken. BYD officially joined the Apollo open platform and became the 100th partner.
Li Zhenyu, vice president of Baidu and general manager of the intelligent driving business group
At the same time, Baidu also established Apollo Automotive Information Security Lab in conjunction with China Automotive Technology Research Center Co., Ltd. and China Information and Communication Research Institute, China First Automobile Group, Chery Automobile, Beijing New Energy Vehicle, Tsinghua University, Beijing University of Aeronautics and Astronautics, Beijing Institute of Technology The university has become the first batch of important cooperation units. We will study related issues related to smart driving information security and accelerate the development of smart driving information in China. Li Zhenyu said that the real speed of automatic driving is to achieve safety first.
According to Wang Jingao, head of Apollo platform research and development, as of now, the Apollo platform has opened more than 200,000 lines of code. More than 2,000 developers and partners have downloaded Apollo code, and nearly 10,000 developers are in the world's largest open source community. Apollo open source software is recommended on Github.
Wang Jingao, head of Apollo platform research and development
As the "One Year Anniversary Edition" Apollo 2.5 version, support limited area visual high-speed automatic driving, "unlocked" the high-speed truck logistics scene, the official summary into four highlights:
More scenes: Support limited area visual high-speed automatic driving, unlock highway scenes. Open visual perception, real-time relative map, high-speed planning and control.
Lower cost: Provides a lower cost sensor solution. With a camera-based visual perception solution, the sensor cost can be reduced by 90% compared to the previous one, greatly reducing the threshold for autonomous driving. In the simplest case, only one monocular wide angle is needed. Cameras and millimeter-wave radars can be used.
More models: Showcased the application case of Changsha Intelligent Driving Research Institute Co., Ltd. using Apollo 2.5 to quickly realize the automatic driving of heavy trucks in highway scenes. This means that Apollo has added a new truck logistics application scenario, which has once again broadened its commercial imagination. Currently, it can support a variety of vehicles such as passenger cars, trucks, buses, logistics vehicles, and road sweepers.
Stronger tools: Five development tools to further enhance developer productivity. Open Dockerfile, freely configure Docker Image, open dependent library to install scripts separately; DreamView visualization tool, open high-speed cruise mode, rich map elements; Apollo Drive Event data collector, add Apollo data manual annotation; Apollo high-precision map data collector, Support map data web page upload, high-precision map cloud download; Apollo Cloud Simulator, more professional scoring tools, support ApolloScape.
Yang Ruigang, head of Baidu Robotics and Autopilot Lab
ApolloScape deserves a separate emphasis. Yang Ruigang, head of Baidu Robotics and Autopilot Labs, said that this is an open data set and tool that Baidu has created to focus on the frontier research of autonomous driving. Baidu's positioning is a practical "data resource" for the development of autonomous driving technology. "To create a "Next-Gen simulation" based on real scene + real driving behavior, ApolloScape's development roadmap shows that from October 2017 to April 2018, the scene analysis data set will include 200,000 frames of open data sets, scenes Level Semantic Segmentation Point Cloud, pixel-level semantic annotation image sequence; April 20-2018 will expand the dataset range, including infrared night vision data and stereo panoramic image data; by 2018, the stereoscopic dataset will be expanded. Etc. Continue to expand more dataset resources for different attributes in different environments, weather, and traffic conditions.
The officially disclosed open plan map indicates that Apollo 2.5 will support the implementation of limited-area visual high-speed autopilot, and the 3.0 phase will enable mass-produced low-speed park autopilots. 4.0 will support limited regional high-speed and urban road autopilot.
At present, although the various automatic driving technologies are hot, the real commercial production is still challenging. In the second half of 2018, Li Yanhong has warmed up many times, and the unmanned small bus Apollon jointly developed by Baidu and Jinlong Bus It is necessary to mass-produce trial operation, and the progress of the project deserves further attention.
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